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Joint Uplink Base Station Association and Power Control for Small-Cell Networks With Non-Orthogonal Multiple Access

机译:具有非正交多址访问的小型蜂窝网络的联合上行链路基站关联和功率控制

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Since non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) can achieve superior spectral-efficiency and energy-efficiency, the concept of SCN using NOMA with SIC is proposed in this paper. Due to the difference in small-cell base stations’ locations, each mobile user perceives different channel gains to different small-cell base stations. Therefore, it is important to associate a mobile user with the right base station and control its transmit power for the uplink SCN using NOMA with SIC. However, the already-challenging base station association problem is further complicated by the need of transmit power control, which is an essential component to manage co-channel interference. Despite its importance, the joint base station association and power control optimization problem that maximizes the system-wide utility and at the same time minimizes the total transmit power consumption for the maximum utility has remained largely unsolved for the uplink SCN using NOMA with SIC, mainly due to its non-convex and combinatorial nature. To solve this problem, we first present a formulation transformation that captures two interactive objectives simultaneously. Then, we propose a novel algorithm to solve the equivalently transformed optimization problem based on the coalition formation game theory and the primal decomposition theory in the framework of simulated annealing. Finally, theoretical analysis and simulation results are provided to demonstrate that the proposed algorithm is guaranteed to converge to the global optimal solution in polynomial time.
机译:由于具有连续干扰消除(SIC)的非正交多址(NOMA)可以实现优异的频谱效率和能效,因此提出了将NOMA与SIC结合使用的SCN概念。由于小蜂窝基站位置的不同,每个移动用户对不同的小蜂窝基站感知的信道增益也不同。因此,重要的是将移动用户与正确的基站相关联,并使用带有SIC的NOMA来控制其上行链路SCN的发射功率。然而,已经挑战性的基站关联问题由于需要发射功率控制而变得更加复杂,而发射功率控制是管理同信道干扰的重要组成部分。尽管具有其重要性,但结合使用NOMA和SIC的上行链路SCN仍未解决联合基站关联和功率控制优化问题,该问题最大程度地提高了系统范围的效用,同时又使最大效用的总发射功耗最小。由于其非凸性和组合性。为了解决这个问题,我们首先提出一个配方转换,该转换同时捕获两个交互目标。然后,在模拟退火的框架下,基于联盟形成博弈理论和原始分解理论,提出了一种求解等效变换优化问题的新算法。最后,通过理论分析和仿真结果验证了该算法在多项式时间内可以收敛到全局最优解。

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